Deals Lost Value
Definition
Total dollar value of opportunities closed-lost during the period — the opportunity-cost view on the pipeline motion. Useful for sizing the "what we missed" gap and prioritizing post-mortem efforts on the highest-value losses. Common pitfall: post-mortems on small lost deals waste time relative to insight; tier the post-mortem cadence by value (e.g. every loss above the 80th-percentile deal size gets a written debrief). Boards expect the largest 2–3 losses to be explained explicitly in commentary.
Why it matters
Quantifies the realized opportunity cost — useful for justifying packaging changes, ICP refinement, or product investment that would have closed specific tier-1 losses. Drives loss-reason prioritization.
How it's calculated
Closed-Lost Value = Σ (deal_value) across opportunities that transitioned to closed-lost in the period. Use the same value convention (TCV vs ACV) as Closed-Won Value for consistency. How to interpret it
Loss-Value / Won-Value (= loss share of total close events) — at steady state usually 30–60% depending on motion type (inbound-heavy motions have higher win rates and lower loss values; outbound motions have lower win rates and higher loss values). Spiking loss-value with stable won-value usually indicates competitive friction or pricing pressure on enterprise deals specifically.
Source
imboard Editorial
Stage relevance
Typically owned by
Related KPIs
Count of opportunities that transitioned to closed-lost during the period — the volume side of pipeline disqualification. The other half of the win rate denominator; without tracking it explicitly you cannot compute or benchmark win rate. Common pitfall: stale "open" deals that should be marked lost are left open, inflating pipeline value while suppressing the lost count — a hygiene problem that compounds because next-period coverage looks fine while win rates silently degrade. Every CRM hygiene policy should specify a max-age before deals auto-flag for lost-or-update review.
Total dollar value of all opportunities closed-won during the period — the period's realized bookings from the pipeline motion. Reconciles to (sales.new_business + sales.expansion) when split by deal type. Common pitfall: reporting TCV (total contract value) here when the rest of the dashboard uses ACV — pick one and apply it consistently across closed_won_value, weighted_forecast, and pipeline_value, or the dashboard math stops reconciling.
Percentage of closed opportunities that resulted in closed-won (vs closed-lost) during the period. The single best read on bottom-of-funnel execution and the most direct input to pipeline-coverage math (required coverage = 1 / win rate). Common pitfall: computing win rate without disqualifying "no decision" outcomes inflates losses and depresses the rate artificially; the SaaS norm is to either bucket no-decisions separately or track a two-rate view (raw win rate vs ICP-fit win rate excluding no-decisions). Stage-segment cuts (SMB vs Enterprise) usually differ 2×–4× and should be reported separately when volume permits.
Mean dollar value across active pipeline opportunities (Pipeline Value / Pipeline Deal Count). Distinct from sales.avg_contract_value (ACV) which measures closed-won deals — average_deal_size is forward-looking pipeline-shape, ACV is realized output. Common pitfall: a few oversized deals materially skew the average — always inspect median_deal_size alongside; a large gap between average and median signals a few mega-deals that drive most of the projected number, which concentrates pipeline risk.
Narrative read on competitive dynamics affecting the sales motion — material wins / losses to specific competitors, observed pricing or packaging moves in the market, new entrants, M&A in the competitive set. Boards use this surface to bring outside intelligence (their other portfolio companies, advisors) to bear on the competitive picture. Common pitfall: listing competitor names without quantifying how often they show up in deal cycles — a "Competitor X is being aggressive" entry without "we saw them in 8 of 20 active deals last quarter, up from 3 of 18" is too vague to act on.
Track these KPIs with your board
I'mBoard helps startup CEOs report the metrics that matter, track resolutions, and run better board meetings.